Lighting Design Platform Using Digital Fixture Libraries
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Solution Overview
Problem
Current lighting design workflows are inefficient due to market fragmentation, lack of accurate product information, and underutilization of intelligent lighting features, leading to suboptimal lighting installations and missed opportunities for enhancing emotional and aesthetic experiences.
Innovation Solution
A platform that integrates automated search engines, near-field illumination characterization, and machine learning to facilitate the design, acquisition, installation, and operation of lighting installations, utilizing a library of lighting objects and objects with advanced control capabilities to provide a desired collective lighting effect.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If designers use physical samples to evaluate lighting products, then they can directly observe lighting effects, but the design process becomes time-consuming and inefficient
Solution Approach 1:
The patent creates digital copies (virtual models) of physical lighting fixtures that replicate their optical, electrical, and physical properties. These digital twins allow designers to evaluate lighting effects computationally without needing physical samples, dramatically reducing evaluation time while maintaining accuracy through validated simulation engines.
Solution Approach 2:
The system performs preliminary computational evaluations of lighting designs using virtual models before physical installation. Designers can test multiple configurations, compare lighting effects, and optimize designs in the virtual environment, eliminating the need for time-consuming on-site sample evaluations and iterative physical adjustments.
2Adaptability or versatility
If the lighting market remains highly fragmented with thousands of fixtures from many suppliers, then product variety is high, but information availability and design efficiency deteriorate
Solution Approach 1:
The patent creates a universal platform that can import, store, and simulate lighting fixtures from multiple suppliers through a common data exchange format (IES file). This universal interface allows the system to handle diverse product varieties while maintaining consistent information management, eliminating the need for separate evaluation processes for each supplier's products.
Solution Approach 2:
The system merges product information from multiple suppliers into a unified digital library, combining optical data, electrical specifications, and physical properties into integrated digital models. This consolidation makes previously scattered information accessible and comparable within a single platform, improving information availability without reducing product variety.
3Measurement precision
If designers travel to sample closets to characterize lighting fixtures, then they can personally evaluate products, but the design workflow becomes inefficient and suboptimal
Solution Approach 1:
The system replaces physical sample closets with digital model libraries containing comprehensive fixture characterizations. Designers access and evaluate lighting fixtures remotely through the software platform, eliminating travel requirements while maintaining accurate fixture representation through detailed digital twins that preserve all optical and electrical properties.
Solution Approach 2:
The patent replaces the mechanical process of physically transporting and handling lighting samples with computational methods. Digital models are transmitted electronically and rendered computationally, substituting the physical evaluation workflow with a virtual one that achieves the same characterization accuracy without the logistical overhead of sample closets and travel.
4Adaptability or versatility
If intelligent lighting features are underutilized due to market fragmentation and lack of designer expertise, then lighting installations miss opportunities for enhancement, but implementing comprehensive intelligent features increases system complexity
Solution Approach 1:
The system automatically extracts intelligent lighting capabilities and control parameters from fixture datasheets and digital models without requiring manual configuration. The software autonomously identifies dimming curves, color temperature ranges, scene settings, and connectivity options, then integrates these features into the design workflow automatically, reducing implementation complexity while maximizing intelligent feature utilization.
Solution Approach 2:
The platform performs preliminary analysis of intelligent lighting features during the design phase, automatically evaluating how dimming curves, color transitions, and control protocols will perform in the proposed installation. This upfront computational assessment identifies optimization opportunities and potential issues before implementation, reducing on-site complexity and ensuring intelligent features are properly utilized from the start.
Data Source
AI summary
A platform for design of a lighting installation generally includes an automated search engine for retrieving and storing a plurality of lighting objects in a lighting object library and a lighting design environment providing a visual representation of a lighting space containing lighting space objects and lighting objects. The visual representation is based on properties of the lighting space objects and lighting objects obtained from the lighting object library. A plurality of aesthetic filters is configured to permit a designer in a design environment to adjust parameters of the plurality of lighting objects handled in the design environment to provide a desired collective lighting effect using the plurality of lighting objects.